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Fu D, Zhang T, Liu J, Chang B, Zhang Q, Tan Y, Chen X, Tan L. Identification of adipocyte infiltration-related gene subtypes for predicting colorectal cancer prognosis and responses of immunotherapy/chemotherapy. Heliyon 2024; 10:e33616. [PMID: 39050460 PMCID: PMC11266998 DOI: 10.1016/j.heliyon.2024.e33616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/27/2024] Open
Abstract
Colorectal cancer (CRC) is a prevalent and aggressive malignancy characterized by a complex tumor microenvironment (TME). Given the variations in the level of adipocyte infiltration in TME, the prognosis may differ among CRC patients. Thus, there is an urgent need to establish a reliable method for identifying adipocyte subtypes in CRC in order to elucidate the impact of adipocyte infiltration on CRC treatment and prognosis. Herein, 144 adipocyte-infiltration-related genes (AIRGs) were identified as predictive markers for the immune-associated features and prognosis of CRC patients. Based on the 144 genes, the unsupervised clustering algorithm identified two distinct clusters of CRC patients with variations in molecular and signaling pathways, clinicopathological characteristics and responses to CRC chemotherapy and immunotherapy. Furthermore, an AIRG prognostic signature was constructed and validated in independent datasets. Overall, this study developed a prognostic signature based on AIRGs in CRC, which may contribute to the development of personalized treatment strategies and enhance prognostic prediction for CRC patients.
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Affiliation(s)
- Daan Fu
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Key Laboratory of Anesthesiology and Resuscitation (Huazhong University of Science and Technology), Ministry of Education, China
- Institute of Anesthesia and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tianhao Zhang
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jia Liu
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Bingcheng Chang
- The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550003, China
| | - Qingqing Zhang
- Haiyan County Hospital of Traditional Chinese Medicine, JiaXing, 314399, China
| | - Yuyan Tan
- Department of Breast and Thyroid Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, 443000, China
| | - Xiangdong Chen
- Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Key Laboratory of Anesthesiology and Resuscitation (Huazhong University of Science and Technology), Ministry of Education, China
- Institute of Anesthesia and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lulu Tan
- Department of Breast and Thyroid Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, 443000, China
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Upadhyay V, Yoon YM, Vazquez SE, Velez TE, Jones KD, Lee CT, Law CS, Wolters PJ, Lee S, Yang MM, Farrand E, Noth I, Strek ME, Anderson MS, DeRisi JL, Sperling AI, Shum AK. Phage Immunoprecipitation-Sequencing Reveals CDHR5 Autoantibodies in Select Patients With Interstitial Lung Disease. ACR Open Rheumatol 2024. [PMID: 38952015 DOI: 10.1002/acr2.11696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/10/2024] [Accepted: 04/26/2024] [Indexed: 07/03/2024] Open
Abstract
OBJECTIVE Interstitial lung diseases (ILDs) are a heterogeneous group of disorders that can develop in patients with connective tissue diseases. Establishing autoimmunity in ILD impacts prognosis and treatment. Patients with ILD are screened for autoimmunity by measuring antinuclear autoantibodies, rheumatoid factors, and other nonspecific tests. However, this approach may miss autoimmunity that manifests as autoantibodies to tissue antigens not previously defined in ILD. METHODS We use Phage Immunoprecipitation-Sequencing (PhIP-Seq) to conduct an autoantibody discovery screen of patients with ILD and controls. We screened for novel autoantigen candidates using PhIP-Seq. We next developed a radio-labeled binding assay and validated the leading candidate in 398 patients with ILD recruited from two academic medical centers and 138 blood bank individuals that formed our reference cohort. RESULTS PhIP-Seq identified 17 novel autoreactive targets, and machine learning classifiers derived from these targets discriminated ILD serum from controls. Among the 17 candidates, we validated CDHR5 and found CDHR5 autoantibodies in patients with rheumatologic disorders and importantly, patients not previously diagnosed with autoimmunity. Using survival and transplant free-survival data available from one of the two centers, patients with CDHR5 autoantibodies showed worse survival compared with other patients with connective tissue disease ILD. CONCLUSION We used PhIP-Seq to define a novel CDHR5 autoantibody in a subset of select patients with ILD. Our data complement a recent study showing polymorphisms in the CDHR5-IRF7 gene locus strongly associated with titer of anticentromere antibodies in systemic sclerosis, creating a growing body of evidence suggesting a link between CDHR5 and autoimmunity.
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Affiliation(s)
| | | | - Sara E Vazquez
- University of California San Francisco and Chan Zuckerberg Biohub
| | - Tania E Velez
- University of Chicago, Illinois, and University of Virginia, Charlottesville
| | | | | | | | | | | | | | | | - Imre Noth
- University of Virginia, Charlottesville
| | | | | | - Joseph L DeRisi
- University of California San Francisco and Chan Zuckerberg Biohub
| | - Anne I Sperling
- University of Chicago, Illinois, and University of Virginia, Charlottesville
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3
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Vatier C, Vigouroux C, Mosbah H. Primary disease of adipose tissue: When to think about and how to evaluate it in clinical practice? ANNALES D'ENDOCRINOLOGIE 2024; 85:190-194. [PMID: 38871502 DOI: 10.1016/j.ando.2024.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Primary diseases of adipose tissue are rare disorders resulting from impairments in the physiological functions of adipose tissue (lipid stockage and endocrine function). It mainly refers to lipodystrophy syndromes with subcutaneous adipose tissue atrophy and/or altered body distribution of adipose tissue leading to insulin resistance, diabetes, hepatic steatosis, dyslipidemia, cardiovascular complications and polycystic ovary syndrome in women. Those syndromes are congenital or acquired, and lipoatrophy is partial or generalized. The diagnosis of lipodystrophy syndromes is often unrecognized, delayed and/or inaccurate, while it is of major importance to adapt investigations to search for specific comorbidities, in particular cardiovascular involvement, and set up multidisciplinary care, and in some cases specific treatment. Physicians have to recognize the clinical and biological elements allowing to establish the diagnosis. Lipodystrophic syndromes should be considered, notably, in patients with diabetes at a young age, with a normal or low BMI, negative pancreatic autoantibodies, presenting clinical signs of lipodystrophy and insulin resistance (acanthosis nigricans, hyperandrogenism, hepatic steatosis, high insulin doses). The association of diabetes and a family history of severe and/or early cardiovascular disease (coronary atherosclerosis, cardiomyopathy with rhythm and/or conduction disorders) may reveal Dunnigan syndrome, the most frequent form of familial lipodystrophy, due to LMNA pathogenic variants. Clinical assessment is primarily done through clinical examination: acanthosis nigricans, abnormal adipose tissue distribution, lipoatrophy, muscular hypertrophy, acromegaloid or Cushingoid features, lipomas, highly visible subcutaneous veins, may be revealing signs. The amount of circulating adipokines may reflect of adipose dysfunction with low leptinemia and adiponectinemia. Other biological metabolic parameters (hypertriglyceridemia, hyperinsulinemia, increased glycemia and hepatic enzymes) may also represent markers of insulin resistance. Quantification of total body fat by impedancemetry or dual-photon X-ray absorptiometry (DEXA) reveals decreased total body mass, in correlation with adipose tissue atrophy; metabolic magnetic resonance imaging can also quantify intraperitoneal and abdominal fat and the degree of hepatic steatosis. Histological analysis of adipose tissue showing structural abnormalities should be reserved for clinical research. Acquired lipodystrophic syndromes most often lead to similar clinical phenotype as congenital syndromes with generalized or partial lipoatrophy. The most frequent causes are old anti-HIV therapy or glucocorticoid treatments. Family history, history of treatments and clinical examination, including a careful physical examination, are keys for diagnosis.
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Affiliation(s)
- Camille Vatier
- Service d'endocrinologie, diabétologie et endocrinologie de la reproduction, Centre national de référence des pathologies rares de l'insulino-sécrétion et de l'insulino-sensibilité (PRISIS), hôpital Saint-Antoine, Assistance publique-Hôpitaux de Paris, Paris, France; INSERM UMRS_938, Centre de recherche Saint-Antoine, Institut hospitalo-universitaire de cardiométabolisme et nutrition (ICAN), Sorbonne université, Paris, France.
| | - Corinne Vigouroux
- Service d'endocrinologie, diabétologie et endocrinologie de la reproduction, Centre national de référence des pathologies rares de l'insulino-sécrétion et de l'insulino-sensibilité (PRISIS), hôpital Saint-Antoine, Assistance publique-Hôpitaux de Paris, Paris, France; INSERM UMRS_938, Centre de recherche Saint-Antoine, Institut hospitalo-universitaire de cardiométabolisme et nutrition (ICAN), Sorbonne université, Paris, France
| | - Héléna Mosbah
- INSERM UMRS_938, Centre de recherche Saint-Antoine, Institut hospitalo-universitaire de cardiométabolisme et nutrition (ICAN), Sorbonne université, Paris, France; Service d'endocrinologie, diabétologie, nutrition, Centre de compétence PRISIS, CHU de la Milétrie, Poitiers, France; Inserm, ECEVE UMR 1123, université Paris-Cité, Paris, France
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4
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Bodansky A, Yu DJ, Rallistan A, Kalaycioglu M, Boonyaratanakornkit J, Green DJ, Gauthier J, Turtle CJ, Zorn K, O’Donovan B, Mandel-Brehm C, Asaki J, Kortbawi H, Kung AF, Rackaityte E, Wang CY, Saxena A, de Dios K, Masi G, Nowak RJ, O’Connor KC, Li H, Diaz VE, Saloner R, Casaletto KB, Gontrum EQ, Chan B, Kramer JH, Wilson MR, Utz PJ, Hill JA, Jackson SW, Anderson MS, DeRisi JL. Unveiling the proteome-wide autoreactome enables enhanced evaluation of emerging CAR T cell therapies in autoimmunity. J Clin Invest 2024; 134:e180012. [PMID: 38753445 PMCID: PMC11213466 DOI: 10.1172/jci180012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
Given the global surge in autoimmune diseases, it is critical to evaluate emerging therapeutic interventions. Despite numerous new targeted immunomodulatory therapies, comprehensive approaches to apply and evaluate the effects of these treatments longitudinally are lacking. Here, we leveraged advances in programmable-phage immunoprecipitation methodology to explore the modulation, or lack thereof, of autoantibody profiles, proteome-wide, in both health and disease. Using a custom set of over 730,000 human-derived peptides, we demonstrated that each individual, regardless of disease state, possesses a distinct and complex constellation of autoreactive antibodies. For each individual, the set of resulting autoreactivites constituted a unique immunological fingerprint, or "autoreactome," that was remarkably stable over years. Using the autoreactome as a primary output, we evaluated the relative effectiveness of various immunomodulatory therapies in altering autoantibody repertoires. We found that therapies targeting B cell maturation antigen (BCMA) profoundly altered an individual's autoreactome, while anti-CD19 and anti-CD20 therapies had minimal effects. These data both confirm that the autoreactome comprises autoantibodies secreted by plasma cells and strongly suggest that BCMA or other plasma cell-targeting therapies may be highly effective in treating currently refractory autoantibody-mediated diseases.
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Affiliation(s)
- Aaron Bodansky
- Department of Pediatrics, Division of Critical Care, and
| | - David J.L. Yu
- Diabetes Center, School of Medicine, UCSF, San Francisco, California, USA
| | - Alysa Rallistan
- Department of Medicine, Division of Immunology and Rheumatology, and
| | - Muge Kalaycioglu
- Institute of Immunity, Transplantation, and Infection, Stanford University, Stanford, California, USA
| | - Jim Boonyaratanakornkit
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Damian J. Green
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Jordan Gauthier
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Cameron J. Turtle
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington School of Medicine, Seattle, Washington, USA
| | | | | | | | | | - Hannah Kortbawi
- Department of Biochemistry and Biophysics
- Medical Scientist Training Program, and
| | - Andrew F. Kung
- Department of Biochemistry and Biophysics
- Biological and Medical Informatics Program, UCSF, San Francisco, California, USA
| | | | - Chung-Yu Wang
- Chan Zuckerberg Biohub San Francisco, San Francisco, California, USA
| | - Aditi Saxena
- Chan Zuckerberg Biohub San Francisco, San Francisco, California, USA
| | - Kimberly de Dios
- Diabetes Center, School of Medicine, UCSF, San Francisco, California, USA
| | - Gianvito Masi
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Richard J. Nowak
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kevin C. O’Connor
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Hao Li
- Department of Biochemistry and Biophysics
| | - Valentina E. Diaz
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Rowan Saloner
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Kaitlin B. Casaletto
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Eva Q. Gontrum
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Brandon Chan
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Joel H. Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences
| | - Michael R. Wilson
- Weill Institute for Neurosciences, and
- Department of Neurology, UCSF, San Francisco, California, USA
| | - Paul J. Utz
- Department of Medicine, Division of Immunology and Rheumatology, and
| | - Joshua A. Hill
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington School of Medicine, Seattle, Washington, USA
| | - Shaun W. Jackson
- Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA
- Seattle Children’s Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Mark S. Anderson
- Diabetes Center, School of Medicine, UCSF, San Francisco, California, USA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics
- Chan Zuckerberg Biohub San Francisco, San Francisco, California, USA
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5
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Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Kizer K, Augusto DG, Tubati A, Gomez R, Fouassier C, Gerungan C, Caspar CM, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Sabatino JJ, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. An autoantibody signature predictive for multiple sclerosis. Nat Med 2024; 30:1300-1308. [PMID: 38641750 DOI: 10.1038/s41591-024-02938-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. In this study, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster in approximately 10% of PwMS who share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active preclinical period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes.
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Affiliation(s)
- Colin R Zamecnik
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gavin M Sowa
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ravi Dandekar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca D Bair
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristen J Wade
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Christopher M Bartley
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kerry Kizer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Danillo G Augusto
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Asritha Tubati
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Refujia Gomez
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Camille Fouassier
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chloe Gerungan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Colette M Caspar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Alexander
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Anne E Wapniarski
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rita P Loudermilk
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Erica L Eggers
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Nora Jabassini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sabrina A Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Nicholas R Ragan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sergio E Baranzini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Scott S Zamvil
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph J Sabatino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Riley M Bove
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chu-Yueh Guo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey M Gelfand
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Richard Cuneo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - H-Christian von Büdingen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jill A Hollenbach
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ari J Green
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen L Hauser
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mitchell T Wallin
- Department of Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC, USA
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Michael R Wilson
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
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Hoff FW, Xing C, Garg A. A Novel Subtype of Acquired Generalized Lipodystrophy Associated With Subcutaneous Panniculitis-Like T-cell Lymphoma. JCEM CASE REPORTS 2024; 2:luae069. [PMID: 38681964 PMCID: PMC11055395 DOI: 10.1210/jcemcr/luae069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Indexed: 05/01/2024]
Abstract
Acquired generalized lipodystrophy (AGL) is an extremely rare disease that is characterized by loss of body fat affecting nearly all parts of the body. It is often associated with autoimmune diseases or panniculitis, whereas in other patients the underlying etiology is unclear. We report a 52-year-old male individual who was diagnosed with subcutaneous panniculitis-like T-cell lymphoma (SPTCL) that spontaneously went into remission. Years later he developed new subcutaneous nodules most concerning for relapse SPTCL or lupus panniculitis, followed by onset of hemophagocytic lymphohistiocytosis (HLH) that was treated with allogeneic stem cell transplantation. Notably, around the same time, he also developed generalized subcutaneous fat loss of both upper and lower extremities, chest, abdomen, and face that persisted after treatment of the HLH. Whole exome sequencing was performed to search for pathogenic variants that are associated with SPTCL, including those in hepatitis A virus cellular receptor 2 (HAVCR2), but did not detect any potential disease-causing variant. Our report brings to the attention a novel subtype of panniculitis-variety of AGL. Whether generalized loss of subcutaneous fat in this patient is due to lymphoma-associated panniculitis or due to development of adipose tissue-directed autoantibodies as a paraneoplastic "autoimmune" manifestation of SPTCL remains unclear.
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Affiliation(s)
- Fieke W Hoff
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Chao Xing
- McDermott Center for Human Growth and Development, Department of Bioinformatics, O’Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Abhimanyu Garg
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Section of Nutrition and Metabolic Diseases, Division of Endocrinology, Department of Internal Medicine and the Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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7
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Donadille B, Janmaat S, Mosbah H, Belalem I, Lamothe S, Nedelcu M, Jannot AS, Christin-Maitre S, Fève B, Vatier C, Vigouroux C. Diagnostic and referral pathways in patients with rare lipodystrophy and insulin-resistance syndromes: key milestones assessed from a national reference center. Orphanet J Rare Dis 2024; 19:177. [PMID: 38678257 PMCID: PMC11056061 DOI: 10.1186/s13023-024-03173-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/30/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Rare syndromes of lipodystrophy and insulin-resistance display heterogeneous clinical expressions. Their early recognition, diagnosis and management are required to avoid long-term complications. OBJECTIVE We aimed to evaluate the patients' age at referral to our dedicated national reference center in France and their elapsed time from first symptoms to diagnosis and access to specialized care. PATIENTS AND METHODS We analyzed data from patients with rare lipodystrophy and insulin-resistance syndromes referred to the coordinating PRISIS reference center (Adult Endocrine Department, Saint-Antoine Hospital, AP-HP, Paris), prospectively recorded between 2018 and 2023 in the French National Rare Disease Database (BNDMR, Banque Nationale de Données Maladies Rares). RESULTS A cohort of 292 patients was analyzed, including 208 women, with the following diagnosis: Familial Partial LipoDystrophy (FPLD, n = 124, including n = 67 FPLD2/Dunnigan Syndrome); Acquired lipodystrophy syndromes (n = 98, with n = 13 Acquired Generalized Lipodystrophy, AGL); Symmetric cervical adenolipomatosis (n = 27, Launois-Bensaude syndrome, LB), Congenital generalized lipodystrophy (n = 18, CGL) and other rare severe insulin-resistance syndromes (n = 25). The median age at referral was 47.6 years [IQR: 31-60], ranging from 25.2 (CGL) to 62.2 years old (LB). The median age at first symptoms of 27.6 years old [IQR: 16.8-42.0]) and the median diagnostic delay of 6.4 years [IQR: 1.3-19.5] varied among diagnostic groups. The gender-specific expression of lipodystrophy is well-illustrated in the FPLD2 group (91% of women), presenting with first signs at 19.3 years [IQR: 14.4-27.8] with a diagnostic delay of 10.5 years [IQR: 1.8-27.0]. CONCLUSION The national rare disease database provides an important tool for assessment of care pathways in patients with lipodystrophy and rare insulin-resistance syndromes in France. Improving knowledge to reduce diagnostic delay is an important objective of the PRISIS reference center.
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Affiliation(s)
- Bruno Donadille
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France.
| | - Sonja Janmaat
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
| | - Héléna Mosbah
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
- Saint-Antoine Research Center, Institute of CardioMetabolism and Nutrition (ICAN), Sorbonne University, Inserm UMR_S 938, Paris, France
| | - Inès Belalem
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
| | - Sophie Lamothe
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
| | - Mariana Nedelcu
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
| | - Anne-Sophie Jannot
- Banque Nationale de Données Maladies Rares, DSN-I&D, APHP, Paris, France
| | - Sophie Christin-Maitre
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
- Sorbonne Université, Inserm UMR_S 933, Paris, France
| | - Bruno Fève
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
- Saint-Antoine Research Center, Institute of CardioMetabolism and Nutrition (ICAN), Sorbonne University, Inserm UMR_S 938, Paris, France
| | - Camille Vatier
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France
- Saint-Antoine Research Center, Institute of CardioMetabolism and Nutrition (ICAN), Sorbonne University, Inserm UMR_S 938, Paris, France
| | - Corinne Vigouroux
- Saint-Antoine Hospital, Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Assistance Publique-Hôpitaux de Paris (AP-HP), 184 rue du Faubourg Saint-Antoine, 75012, Paris, France.
- Saint-Antoine Research Center, Institute of CardioMetabolism and Nutrition (ICAN), Sorbonne University, Inserm UMR_S 938, Paris, France.
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8
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Magno S, Ceccarini G, Corvillo F, Pelosini C, Gilio D, Paoli M, Fornaciari S, Pandolfo G, Sanchez-Iglesias S, Nozal P, Curcio M, Sessa MR, López-Trascasa M, Araújo-Vilar D, Santini F. Clinical Characteristics of Patients With Acquired Partial Lipodystrophy: A Multicenter Retrospective Study. J Clin Endocrinol Metab 2024; 109:e932-e944. [PMID: 38061004 DOI: 10.1210/clinem/dgad700] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Indexed: 02/21/2024]
Abstract
BACKGROUND Barraquer-Simons syndrome (BSS) is a rare, acquired form of lipodystrophy characterized by progressive loss of upper body subcutaneous fat, which affects face, upper limbs, and trunk. The pathogenesis of the disease is not entirely known and may involve autoimmune mechanisms. AIM This study aimed to provide a comprehensive picture of the clinical, immunological, and metabolic features of a large cohort of patients with BSS. Our primary objectives included the validation of existing diagnostic tools, the evaluation of novel diagnostic approaches, and the exploration of potential disease triggers or genetic predispositions. SUBJECTS AND METHODS Twenty-six patients were diagnosed with BSS based on accepted criteria defined by international guidelines. Anthropometric parameters, biochemical tests, organ- and non-organ-specific autoantibodies, HLA status, and screening of the LMNB2 gene were performed. RESULTS Patients were predominantly females (73%); fat loss occurred mostly during childhood (77%) at a median age of 8 years. Among various anthropometric measures, the ratio between the proportion of fat mass in upper limbs and lower limbs showed the best predictive value for diagnosis. A total of 11.5% of patients had diabetes, 34.6% dyslipidemia, and 26.9% hepatic steatosis. Seventy-five percent of children and 50% of adults had C3 hypocomplementemia; 76% of patients were positive for 1 or more autoantibodies. HLA-DRB1 11:03 had higher allelic frequencies compared with the general population. A single variant in the LMNB2 gene was found in 1 patient. CONCLUSION BSS has a childhood onset and is often associated with autoimmune diseases. Skinfold thickness measurements and fat assessment by dual energy X-ray absorptiometry are useful tools to identify the disease. C3 hypocomplementemia and the presence of autoantibodies may be used as additional diagnostic supportive criteria but the prevalence of C3 hypocomplementemia may be lower than previously reported.
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Affiliation(s)
- Silvia Magno
- Obesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, Pisa 56124, Italy
| | - Giovanni Ceccarini
- Obesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, Pisa 56124, Italy
| | - Fernando Corvillo
- Complement Research Group, Hospital La Paz Institute for Health Research (IdiPAZ), La Paz University Hospital, Paseo de la Castellana, Madrid 28046, Spain
- Center for Biomedical Network Research on Rare Diseases (CIBERER), Madrid 28046, Spain
| | - Caterina Pelosini
- Obesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, Pisa 56124, Italy
- Chemistry and Endocrinology Laboratory, Department of Radiological, Nuclear and Laboratory Medicine, University Hospital of Pisa, Pisa 56124, Italy
| | - Donatella Gilio
- Obesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, Pisa 56124, Italy
| | - Melania Paoli
- Chemistry and Endocrinology Laboratory, Department of Radiological, Nuclear and Laboratory Medicine, University Hospital of Pisa, Pisa 56124, Italy
| | - Silvia Fornaciari
- Division of Transfusion Medicine and Transplant Biology, Department of Radiological, Nuclear and Laboratory Medicine, University Hospital of Pisa, Pisa 56124, Italy
| | - Giuseppe Pandolfo
- Department of Economics and Statistics, University of Naples Federico II, Naples 80138, Italy
| | - Sofia Sanchez-Iglesias
- Thyroid and Metabolic Diseases Unit (U.E.T.eM.), Centro Singular de Investigación en Medicina Molecular e Enfermidades Crónicas (CIMUS-IDIS), School of Medicine, Universidad de Santiago de Compostela, Santiago de Compostela 15700, Spain
| | - Pilar Nozal
- Immunology Unit, La Paz University Hospital, Madrid 28046, Spain
| | - Michele Curcio
- Division of Transfusion Medicine and Transplant Biology, Department of Radiological, Nuclear and Laboratory Medicine, University Hospital of Pisa, Pisa 56124, Italy
| | - Maria Rita Sessa
- Chemistry and Endocrinology Laboratory, Department of Radiological, Nuclear and Laboratory Medicine, University Hospital of Pisa, Pisa 56124, Italy
| | - Margarita López-Trascasa
- Complement Research Group, Hospital La Paz Institute for Health Research (IdiPAZ), La Paz University Hospital, Paseo de la Castellana, Madrid 28046, Spain
- Department of Medicine, Universidad Autónoma de Madrid, Madrid 28046, Spain
| | - David Araújo-Vilar
- Thyroid and Metabolic Diseases Unit (U.E.T.eM.), Centro Singular de Investigación en Medicina Molecular e Enfermidades Crónicas (CIMUS-IDIS), School of Medicine, Universidad de Santiago de Compostela, Santiago de Compostela 15700, Spain
| | - Ferruccio Santini
- Obesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, Pisa 56124, Italy
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9
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Bhatia R, Chennupathi P, Rosenstein ED, Advani S. Spontaneous Remission of Acquired Generalized Lipodystrophy Presenting in the Postpartum Period. JCEM CASE REPORTS 2024; 2:luae009. [PMID: 38314238 PMCID: PMC10836637 DOI: 10.1210/jcemcr/luae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Indexed: 02/06/2024]
Abstract
Acquired generalized lipodystrophy (AGL) is a rare condition characterized by the diffuse loss of adipose tissue resulting in hyperglycemia, severe insulin resistance, and sequelae of metabolic disease. Here, we report the case of a 32-year-old woman who developed uncontrolled hyperglycemia and significant weight loss within 2 months postpartum. Upon endocrine evaluation, she was found to have generalized loss of adiposity, hypoleptinemia, and persistent hyperglycemia despite aggressive insulin administration. Glycemic response was obtained with U-500 intramuscular insulin, pioglitazone, and metformin-sitagliptin. At 14 months postpartum, the patient achieved spontaneous remission with normoglycemia off medication and restoration of adipose tissue deposition. Autoimmune workup revealed positive antinuclear antibodies (ANA) and anti-U1-ribonucleoprotein (anti-U1-RNP) titers, suggestive of an autoimmune etiology to her condition. This case of AGL represents the first reported case of spontaneous remission and the first to develop in the postpartum period.
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Affiliation(s)
- Ranvir Bhatia
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Prathyusha Chennupathi
- Division of Rheumatology, Overlook Medical Center, Atlantic Health System, Summit, NJ 07901, USA
| | - Elliot D Rosenstein
- Division of Rheumatology, Overlook Medical Center, Atlantic Health System, Summit, NJ 07901, USA
- Atlantic Medical Group, Atlantic Health System, Morristown, NJ 07960, USA
| | - Sonoo Advani
- Atlantic Medical Group, Atlantic Health System, Morristown, NJ 07960, USA
- Division of Endocrinology, Overlook Medical Center, Atlantic Health System, Summit, NJ 07901, USA
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10
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Bodansky A, Yu DJL, Rallistan A, Kalaycioglu M, Boonyaratanakornkit J, Green DJ, Gauthier J, Turtle CJ, Zorn K, O’Donovan B, Mandel-Brehm C, Asaki J, Kortbawi H, Kung AF, Rackaityte E, Wang CY, Saxena A, de Dios K, Masi G, Nowak RJ, O’Connor KC, Li H, Diaz VE, Casaletto KB, Gontrum EQ, Chan B, Kramer JH, Wilson MR, Utz PJ, Hill JA, Jackson SW, Anderson MS, DeRisi JL. Unveiling the autoreactome: Proteome-wide immunological fingerprints reveal the promise of plasma cell depleting therapy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.19.23300188. [PMID: 38196603 PMCID: PMC10775319 DOI: 10.1101/2023.12.19.23300188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
The prevalence and burden of autoimmune and autoantibody mediated disease is increasing worldwide, yet most disease etiologies remain unclear. Despite numerous new targeted immunomodulatory therapies, comprehensive approaches to apply and evaluate the effects of these treatments longitudinally are lacking. Here, we leverage advances in programmable-phage immunoprecipitation (PhIP-Seq) methodology to explore the modulation, or lack thereof, of proteome-wide autoantibody profiles in both health and disease. We demonstrate that each individual, regardless of disease state, possesses a distinct set of autoreactivities constituting a unique immunological fingerprint, or "autoreactome", that is remarkably stable over years. In addition to uncovering important new biology, the autoreactome can be used to better evaluate the relative effectiveness of various therapies in altering autoantibody repertoires. We find that therapies targeting B-Cell Maturation Antigen (BCMA) profoundly alter an individual's autoreactome, while anti-CD19 and CD-20 therapies have minimal effects, strongly suggesting a rationale for BCMA or other plasma cell targeted therapies in autoantibody mediated diseases.
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Affiliation(s)
- Aaron Bodansky
- Department of Pediatrics, Division of Critical Care, University of California San Francisco, San Francisco, CA
| | - David JL Yu
- Diabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Alysa Rallistan
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305
| | - Muge Kalaycioglu
- Institute of Immunity, Transplantation, and Infection (ITI), Stanford University, Stanford, CA 94305
| | - Jim Boonyaratanakornkit
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- University of Washington School of Medicine, Seattle, WA, USA
| | - Damian J. Green
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- University of Washington School of Medicine, Seattle, WA, USA
| | - Jordan Gauthier
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- University of Washington School of Medicine, Seattle, WA, USA
| | - Cameron J. Turtle
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- University of Washington School of Medicine, Seattle, WA, USA
| | - Kelsey Zorn
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - Brian O’Donovan
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - Caleigh Mandel-Brehm
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - James Asaki
- Biomedical Sciences Program, University of California San Francisco, San Francisco, CA
| | - Hannah Kortbawi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA
| | - Andrew F. Kung
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
- Biological and Medical Informatics Program, University of California San Francisco, San Francisco, CA
| | - Elze Rackaityte
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | | | | | - Kimberly de Dios
- Diabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Gianvito Masi
- Department of Neurology, Yale School of Medicine, New Haven, CT
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT
| | | | - Kevin C. O’Connor
- Department of Neurology, Yale School of Medicine, New Haven, CT
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT
| | - Hao Li
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
| | - Valentina E. Diaz
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Kaitlin B. Casaletto
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Eva Q. Gontrum
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Brandon Chan
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Joel H. Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Michael R. Wilson
- Weill Institute for Neurosciences, University of California San Francisco; San Francisco, CA
- Department of Neurology, University of California San Francisco; San Francisco, CA
| | - Paul J. Utz
- Department of Medicine, Division of Immunology and Rheumatology, Stanford University, Stanford, CA 94305
| | - Joshua A. Hill
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- University of Washington School of Medicine, Seattle, WA, USA
| | - Shaun W. Jackson
- Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA
- Seattle Children’s Research Institute, Seattle, WA
- Pediatrics, University of Washington School of Medicine, Seattle, WA
| | - Mark S. Anderson
- Diabetes Center, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA
- Chan Zuckerberg Biohub SF, San Francisco, CA
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11
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Rackaityte E, Proekt I, Miller HS, Ramesh A, Brooks JF, Kung AF, Mandel-Brehm C, Yu D, Zamecnik CR, Bair R, Vazquez SE, Sunshine S, Abram CL, Lowell CA, Rizzuto G, Wilson MR, Zikherman J, Anderson MS, DeRisi JL. Validation of a murine proteome-wide phage display library for identification of autoantibody specificities. JCI Insight 2023; 8:e174976. [PMID: 37934865 PMCID: PMC10795829 DOI: 10.1172/jci.insight.174976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/25/2023] [Indexed: 11/09/2023] Open
Abstract
Autoimmunity is characterized by loss of tolerance to tissue-specific as well as systemic antigens, resulting in complex autoantibody landscapes. Here, we introduce and extensively validate the performance characteristics of a murine proteome-wide library for phage display immunoprecipitation and sequencing (PhIP-seq) in profiling mouse autoantibodies. This library was validated using 7 genetically distinct mouse lines across a spectrum of autoreactivity. Mice deficient in antibody production (Rag2-/- and μMT) were used to model nonspecific peptide enrichments, while cross-reactivity was evaluated using anti-ovalbumin B cell receptor-restricted OB1 mice as a proof of principle. The PhIP-seq approach was then utilized to interrogate 3 distinct autoimmune disease models. First, serum from Lyn-/- IgD+/- mice with lupus-like disease was used to identify nuclear and apoptotic bleb reactivities. Second, serum from nonobese diabetic (NOD) mice, a polygenic model of pancreas-specific autoimmunity, was enriched in peptides derived from both insulin and predicted pancreatic proteins. Lastly, Aire-/- mouse sera were used to identify numerous autoantigens, many of which were also observed in previous studies of humans with autoimmune polyendocrinopathy syndrome type 1 carrying recessive mutations in AIRE. These experiments support the use of murine proteome-wide PhIP-seq for antigenic profiling and autoantibody discovery, which may be employed to study a range of immune perturbations in mouse models of autoimmunity profiling.
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Affiliation(s)
| | | | - Haleigh S. Miller
- Department of Biochemistry and Biophysics
- Biological and Medical Informatics Program
| | - Akshaya Ramesh
- Weill Institute for Neurosciences, Department of Neurology, School of Medicine
| | - Jeremy F. Brooks
- Division of Rheumatology, Rosalind Russell and Ephraim P. Engleman Rheumatology Research Center, Department of Medicine, and
| | - Andrew F. Kung
- Department of Biochemistry and Biophysics
- Biological and Medical Informatics Program
| | | | - David Yu
- Diabetes Center, School of Medicine
| | - Colin R. Zamecnik
- Weill Institute for Neurosciences, Department of Neurology, School of Medicine
| | - Rebecca Bair
- Weill Institute for Neurosciences, Department of Neurology, School of Medicine
| | - Sara E. Vazquez
- Department of Biochemistry and Biophysics
- Diabetes Center, School of Medicine
| | | | - Clare L. Abram
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | | | - Gabrielle Rizzuto
- Human Oncology & Pathogenesis Program and Department of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael R. Wilson
- Weill Institute for Neurosciences, Department of Neurology, School of Medicine
| | - Julie Zikherman
- Division of Rheumatology, Rosalind Russell and Ephraim P. Engleman Rheumatology Research Center, Department of Medicine, and
| | | | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics
- Chan Zuckerberg Biohub, San Francisco, California, USA
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12
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Yildirim Simsir I, Tuysuz B, Ozbek MN, Tanrikulu S, Celik Guler M, Karhan AN, Denkboy Ongen Y, Gunes N, Soyaltin UE, Altay C, Nur B, Ozalkak S, Akgun Dogan O, Dursun F, Pekkolay Z, Eren MA, Usta Y, Ozisik S, Ozgen Saydam B, Adiyaman SC, Unal MC, Gungor Semiz G, Turan I, Eren E, Kayserili H, Jeru I, Vigouroux C, Atik T, Onay H, Ozen S, Arioglu Oral E, Akinci B. Clinical features of generalized lipodystrophy in Turkey: A cohort analysis. Diabetes Obes Metab 2023; 25:1950-1963. [PMID: 36946378 DOI: 10.1111/dom.15061] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/09/2023] [Accepted: 03/19/2023] [Indexed: 03/23/2023]
Abstract
AIM To describe the Turkish generalized lipodystrophy (GL) cohort with the frequency of each complication and the death rate during the period of the follow-up. METHODS This study reports on 72 patients with GL (47 families) registered at different centres in Turkey that cover all regions of the country. The mean ± SD follow-up was 86 ± 78 months. RESULTS The Kaplan-Meier estimate of the median time to diagnosis of diabetes and/or prediabetes was 16 years. Hyperglycaemia was not controlled in 37 of 45 patients (82.2%) with diabetes. Hypertriglyceridaemia developed in 65 patients (90.3%). The Kaplan-Meier estimate of the median time to diagnosis of hypertriglyceridaemia was 14 years. Hypertriglyceridaemia was severe (≥ 500 mg/dl) in 38 patients (52.8%). Seven (9.7%) patients suffered from pancreatitis. The Kaplan-Meier estimate of the median time to diagnosis of hepatic steatosis was 15 years. Liver disease progressed to cirrhosis in nine patients (12.5%). Liver disease was more severe in congenital lipodystrophy type 2 (CGL2). Proteinuric chronic kidney disease (CKD) developed in 32 patients (44.4%) and cardiac disease in 23 patients (31.9%). Kaplan-Meier estimates of the median time to diagnosis of CKD and cardiac disease were 25 and 45 years, respectively. Females appeared to have a more severe metabolic disease, with an earlier onset of metabolic abnormalities. Ten patients died during the follow-up period. Causes of death were end-stage renal disease, sepsis (because of recurrent intestinal perforations, coronavirus disease, diabetic foot infection and following coronary artery bypass graft surgery), myocardial infarction, heart failure because of dilated cardiomyopathy, stroke, liver complications and angiosarcoma. CONCLUSIONS Standard treatment approaches have only a limited impact and do not prevent the development of severe metabolic abnormalities and early onset of organ complications in GL.
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Affiliation(s)
- Ilgin Yildirim Simsir
- Division of Endocrinology, Department of Internal Medicine, Ege University School of Medicine, Izmir, Turkey
| | - Beyhan Tuysuz
- Department of Genetics, Istanbul Cerrahpasa University, Istanbul, Turkey
| | - Mehmet Nuri Ozbek
- Division of Pediatric Endocrinology, Mardin Artuklu University, Mardin, Turkey
| | - Seher Tanrikulu
- Division of Endocrinology, Department of Internal Medicine, Acibadem Hospital, Istanbul, Turkey
| | - Merve Celik Guler
- Department of Internal Medicine, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Asuman Nur Karhan
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Mersin University Faculty of Medicine, Mersin, Turkey
| | - Yasemin Denkboy Ongen
- Division of Pediatric Endocrinology, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Nilay Gunes
- Department of Genetics, Istanbul Cerrahpasa University, Istanbul, Turkey
| | - Utku Erdem Soyaltin
- Division of Endocrinology, Department of Internal Medicine, Ege University School of Medicine, Izmir, Turkey
| | - Canan Altay
- Department of Radiology, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Banu Nur
- Division of Pediatric Genetics, Akdeniz University, Antalya, Turkey
| | - Servan Ozalkak
- Division of Pediatric Endocrinology, Diyarbakir Children's Hospital, Diyarbakir, Turkey
| | - Ozlem Akgun Dogan
- Department of Pediatric Genetics, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Fatma Dursun
- Department of Pediatric Endocrinology and Diabetes, Istanbul University of Health Science, Umraniye Training and Research Hospital, Istanbul, Turkey
| | - Zafer Pekkolay
- Division of Endocrinology and Metabolism, Dicle University Faculty of Medicine, Diyarbakir, Turkey
| | - Mehmet Ali Eren
- Department of Endocrinology and Metabolism, Harran University, Faculty of Medicine, Sanliurfa, Turkey
| | - Yusuf Usta
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Mersin University Faculty of Medicine, Mersin, Turkey
| | - Secil Ozisik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Basak Ozgen Saydam
- Division of Endocrinology and Metabolism, Yildirim Beyazit University, Yenimahalle Training Hospital, Ankara, Turkey
| | - Suleyman Cem Adiyaman
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Mehmet Cagri Unal
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Gokcen Gungor Semiz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dokuz Eylul University School of Medicine, Izmir, Turkey
| | - Ihsan Turan
- Division of Pediatric Endocrinology, Faculty of Medicine, Cukurova University, Adana, Turkey
| | - Erdal Eren
- Division of Pediatric Endocrinology, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Hulya Kayserili
- Department of Medical Genetics, Koc University School of Medicine, Istanbul, Turkey
| | - Isabelle Jeru
- Department of Medical Genetics, DMU BioGeM, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Sorbonne University, Paris, France
| | - Corinne Vigouroux
- Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Department of Endocrinology, Diabetology and Reproductive Endocrinology and Department of Molecular Biology and Genetics, and Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
| | - Tahir Atik
- Division of Pediatric Genetics, Ege University School of Medicine, Izmir, Turkey
| | - Huseyin Onay
- Department of Medical Genetics, Ege University, Izmir, Turkey
| | - Samim Ozen
- Division of Pediatric Endocrinology and Diabetes, Ege University School of Medicine, Izmir, Turkey
| | - Elif Arioglu Oral
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
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13
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Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Tubati A, Gomez R, Fouassier C, Gerungan C, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. A Predictive Autoantibody Signature in Multiple Sclerosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.01.23288943. [PMID: 37205595 PMCID: PMC10187343 DOI: 10.1101/2023.05.01.23288943] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. Here, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster of PwMS that share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active prodromal period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid (CSF) and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically- or radiologically-isolated neuroinflammatory syndromes.
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Affiliation(s)
- Colin R. Zamecnik
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Gavin M. Sowa
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Ravi Dandekar
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rebecca D. Bair
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kristen J. Wade
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Christopher M. Bartley
- UCSF Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Asritha Tubati
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Camille Fouassier
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chloe Gerungan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jessica Alexander
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Anne E. Wapniarski
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rita P. Loudermilk
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Erica L. Eggers
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kelsey C. Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Kirtana Ananth
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Nora Jabassini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sabrina A. Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Nicholas R. Ragan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Roland G. Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sergio E. Baranzini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Scott S. Zamvil
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Riley M. Bove
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chu-Yueh Guo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jeffrey M. Gelfand
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Richard Cuneo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - H.-Christian von Büdingen
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jorge R. Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce AC Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jill A. Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA USA
| | - Ari J. Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Stephen L. Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Mitchell T. Wallin
- Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC and University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Michael R. Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
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Upadhyay V, Yoon YM, Vazquez SE, Velez TE, Jones KD, Lee CT, Law CS, Wolters PJ, Lee S, Yang MM, Farrand E, Noth I, Strek ME, Anderson M, DeRisi J, Sperling AI, Shum AK. PhIP-Seq uncovers novel autoantibodies and unique endotypes in interstitial lung disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.24.538091. [PMID: 37163026 PMCID: PMC10168232 DOI: 10.1101/2023.04.24.538091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Interstitial lung diseases (ILDs) are a heterogeneous group of disorders that can develop in patients with connective tissue diseases (CTD). Establishing autoimmunity in ILD impacts prognosis and treatment. ILD patients are screened for autoimmunity by assaying for anti-nuclear autoantibodies, rheumatoid factors and other non-specific tests. However, this approach has not been rigorously validated and may miss autoimmunity that manifests as autoantibodies to tissue antigens not previously defined in ILD. Here, we use Phage Immunoprecipitation-Sequencing (PhIP-Seq) to conduct a large, multi-center unbiased autoantibody discovery screen of ILD patients and controls. PhIP-Seq identified 17 novel autoreactive targets, and machine learning classifiers derived from these targets discriminated ILD serum from controls. Among these 17 candidates, we validated Cadherin Related Family Member 5 (CDHR5) as an autoantigen and found CDHR5 autoantibodies in patients with rheumatologic disorders and importantly, subjects not previously diagnosed with autoimmunity. Lung tissue of CDHR5 autoreactive patients showed transcriptional profiles consistent with activation of NFκB signaling and upregulation of chitotriosidase (CHIT1), a molecular pathway linked to fibrosis. Our study shows PhIP-Seq uncovers novel autoantibodies in ILD patients not revealed by standard clinical tests. Furthermore, CDHR5 autoantibodies may define a novel molecular endotype of ILD characterized by inflammation and fibrosis.
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15
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Deligiorgi MV, Trafalis DT. A Concerted Vision to Advance the Knowledge of Diabetes Mellitus Related to Immune Checkpoint Inhibitors. Int J Mol Sci 2023; 24:ijms24087630. [PMID: 37108792 PMCID: PMC10146255 DOI: 10.3390/ijms24087630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
The rubric of immune-related (ir) diabetes mellitus (DM) (irDM) encompasses various hyperglycemic disorders related to immune checkpoint inhibitors (ICPis). Beyond sharing similarities with conventional DM, irDM is a distinct, yet important, entity. The present narrative review provides a comprehensive overview of the literature regarding irDM published in major databases from January 2018 until January 2023. Initially considered rare, irDM is increasingly being reported. To advance the knowledge of irDM, the present review suggests a concerted vision comprising two intertwined aspects: a scientific-centered and a patient-centered view. The scientific-centered aspect addresses the pathophysiology of irDM, integrating: (i) ICPi-induced pancreatic islet autoimmunity in genetically predisposed patients; (ii) altered gut microbiome; (iii) involvement of exocrine pancreas; (iv) immune-related acquired generalized lipodystrophy. The patient-centered aspect is both nurtured by and nurturing the four pillars of the scientific-centered aspect: awareness, diagnosis, treatment, and monitoring of irDM. The path forward is a multidisciplinary initiative towards: (i) improved characterization of the epidemiological, clinical, and immunological profile of irDM; (ii) standardization of reporting, management, and surveillance protocols for irDM leveraging global registries; (iii) patient stratification according to personalized risk for irDM; (iv) new treatments for irDM; and (v) uncoupling ICPi efficacy from immunotoxicity.
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Affiliation(s)
- Maria V Deligiorgi
- Department of Pharmacology-Clinical Pharmacology Unit, Faculty of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Dimitrios T Trafalis
- Department of Pharmacology-Clinical Pharmacology Unit, Faculty of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
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16
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Savage DB. Perilipin 1 Antibodies in Patients With Acquired Generalized Lipodystrophy. Diabetes 2023; 72:16-18. [PMID: 36538601 DOI: 10.2337/dbi22-0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/10/2022] [Indexed: 12/24/2022]
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17
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Abstract
PURPOSE OF REVIEW Genetic or acquired lipodystrophies are characterized by selective loss of body fat along with predisposition towards metabolic complications of insulin resistance, such as diabetes mellitus, hypertriglyceridemia, hepatic steatosis, polycystic ovarian syndrome, and acanthosis nigricans. In this review, we discuss the various subtypes and when to suspect and how to diagnose lipodystrophy. RECENT FINDINGS The four major subtypes are autosomal recessive, congenital generalized lipodystrophy (CGL); acquired generalized lipodystrophy (AGL), mostly an autoimmune disorder; autosomal dominant or recessive familial partial lipodystrophy (FPLD); and acquired partial lipodystrophy (APL), an autoimmune disorder. Diagnosis of lipodystrophy is mainly based upon physical examination findings of loss of body fat and can be supported by body composition analysis by skinfold measurements, dual-energy x-ray absorptiometry, and whole-body magnetic resonance imaging. Confirmatory genetic testing is helpful in the proband and at-risk family members with suspected genetic lipodystrophies. The treatment is directed towards the specific comorbidities and metabolic complications, and there is no treatment to reverse body fat loss. Metreleptin should be considered as the first-line therapy for metabolic complications in patients with generalized lipodystrophy and for prevention of comorbidities in children. Metformin and insulin therapy are the best options for treating hyperglycemia and fibrates and/or fish oil for hypertriglyceridemia. Lipodystrophy should be suspected in lean and muscular subjects presenting with diabetes mellitus, hypertriglyceridemia, non-alcoholic fatty liver disease, polycystic ovarian syndrome, or amenorrhea. Diabetologists should be aware of lipodystrophies and consider genetic varieties as an important subtype of monogenic diabetes.
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Affiliation(s)
- Nivedita Patni
- Division of Pediatric Endocrinology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA
| | - Abhimanyu Garg
- Division of Nutrition and Metabolic Diseases, Department of Internal Medicine and the Center for Human Nutrition, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390-8537, USA.
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